Abstract: “E-mail is a widely used mechanism for communication, due to its cost and expediency. However, the concern lies when along with its legitimate usage; it is being abused for committing various cyber crimes. E-mail system security lacks adequate proactive mechanism, to defend against such vulnerabilities and misuses. A cyber forensic investigation is employed for gathering significant evidences against adversaries by examining suspected e-mail accounts, in order to prosecute criminals in court of law. In this context, data mining techniques and tools based on them have been used extensively for extracting evidences from huge e-mail ensembles. This can provide assistance to the forensic investigator, to perform a multi-staged analysis of e-mail ensembles. In this paper, we briefly discuss various applications of data mining techniques with respect to cyber forensic investigation. Specifically, we describe our proposed framework and give implementation of first module,e-mail statistical ana”

Keywords: Cyber Crime, E-mail forensic analysis, Statistical Analysis, Classification and Clustering techniques, Authorship identification, Community identification.